Triple

T12396641
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Nazaire E296132 entity
Predicate contains P35 FINISHED
Object Séverac
Séverac is a commune in western France located within the Loire-Atlantique department.
 E982412 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Séverac | Statement: [arrondissement of Saint-Nazaire, contains, Séverac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Séverac
Context triple: [arrondissement of Saint-Nazaire, contains, Séverac]
  • A. Montgeron
    Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
  • B. Goubellat
    Goubellat is a town in northern Tunisia located within the Béja Governorate, known primarily for its agricultural surroundings and rural character.
  • C. Souillac
    Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
  • D. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • E. Tolbiac
    Tolbiac is a Paris Métro station in the 13th arrondissement, located in the southeastern part of the city near Place d’Italie.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Séverac
Triple: [arrondissement of Saint-Nazaire, contains, Séverac]
Generated description
Séverac is a commune in western France located within the Loire-Atlantique department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Séverac
Target entity description: Séverac is a commune in western France located within the Loire-Atlantique department.
  • A. Montgeron
    Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
  • B. Goubellat
    Goubellat is a town in northern Tunisia located within the Béja Governorate, known primarily for its agricultural surroundings and rural character.
  • C. Souillac
    Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
  • D. Taradeau
    Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
  • E. Tolbiac
    Tolbiac is a Paris Métro station in the 13th arrondissement, located in the southeastern part of the city near Place d’Italie.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63480a8bc8190885130f63a3ec761 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f638cbb6dc8190a80ffe3430337855 completed May 2, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69f6397a3458819095b94ae7f9d5f106 completed May 2, 2026, 5:50 p.m.
Created at: April 8, 2026, 9:54 p.m.